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Found 4 papers, 1 papers with code
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
SNOiC combines Soft Labeling and Noisy Mixup strategies to reduce the biasing and generate pseudo-data for open intent class.
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
To evaluate the performance of TextConvoNet, we perform an experimental study on five text classification datasets.
DiPD: Disruptive event Prediction Dataset from Twitter
Our motive behind creating this dataset was to use it to develop machine learning systems that can give its users insight into the trending events going on and alert them about the events that could lead to disruption in the nation.
Open-world Machine Learning: Applications, Challenges, and Opportunities
This paper will help researchers understand the comprehensive developments of OWML and the likelihood of extending the research in suitable areas.
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